Evidence map›Paper›PMID 35448653›Full record

ReviewVeterinary sciences2022

Candidate Genes in Bull Semen Production Traits: An Information Approach Review.

Mamokoma Cathrine Modiba, Khathutshelo Agree Nephawe, Khanyisile Hadebe Mdladla, Wenfa Lu, Bohani Mtileni

Open access · goldAbstract readReview
In one paragraph

Review in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Better Multi-Breed Genomic Predictions for Tropical Bull Fertility Using a Breed-Adjusted Genomic Relationship Matrix.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Mamokoma Cathrine ModibaCollege of Animal Sciences and Technology, Jilin Agricultural University, Xincheng Street, Changchun 130118, China.ORCID 0000-0003-0141-9703
Khathutshelo Agree NephaweDepartment of Animal Sciences, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa.
Khanyisile Hadebe MdladlaAgricultural Research Council Biotechnology Platform, Private Bag X5, Onderstepoort, Pretoria 0110, South Africa.
Wenfa LuCollege of Animal Sciences and Technology, Jilin Agricultural University, Xincheng Street, Changchun 130118, China.
Bohani MtileniDepartment of Animal Sciences, Tshwane University of Technology, Private Bag X680, Pretoria 0001, South Africa.ORCID 0000-0001-5126-598X
Jilin Agricultural University · CNTshwane University of Technology · ZAOnderstepoort Veterinary Institute · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Semen quality plays a crucial role in the successful implementation of breeding programs, especially where artificial insemination (AI) is practiced. Bulls with good semen traits have good fertility and can produce a volume of high semen per ejaculation. The aim of this review is to use an information approach to highlight candidate genes and their relation to bull semen production traits. The use of genome-wide association studies (GWAS) has been demonstrated to be successful in identifying genomic regions and individual variations associated with production traits. Studies have reported over 40 genes associated with semen traits using Illumina BeadChip single-nucleotide polymorphism (SNPs).

Indexed as

bullcandidate genesgenome-wide association studiessemen production parameters

Identifiers

PMID35448653
PMCPMC9028852
OpenAlexW4221004822

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.